e9eb6182d5d3297e79b432a66a2828eb720431ca,scipy/sparse/linalg/_onenormest.py,,sign_round_up,#Any#,109

Before Change

def sign_round_up(X):
    // differs from numpy sign in the way it handles entries that are zero
    return np.sign(np.sign(X) + 0.5)


def elementary_vector(n, i):

After Change

    
    Y = X.copy()
    Y[Y == 0] = 1
    Y /= np.abs(Y)
    return Y

Instances